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Human-AI Teaming Through the Lens of Calibration

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arXiv:2606. 10906v1 Announce Type: new Abstract: We study models for human-AI teaming through the lens of statistical calibration.

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Authors: Eric Nalisnick, Chi Zhang, Sophia Qian, Yixin Wang
Released: 2026-06-10 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Human-AI Teaming Through the Lens of Calibration overlaps with clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "Follow-up to #354: cascading chunk-binding — does A→B, B→C, C→D propagate the full chain on a recipient trained only to emit A?", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: rate, propagate, model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.10906

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